Multi-objective bat optimization for a biomass gasifier integrated energy system based on 4E analyses

An innovative biomass gasifier integrated plant was proposed for combined heating and power production in the current paper. The consists of an s-CO2 cycle, gasifier, combustion chamber, a domestic water heater purposes. system studied from different perspectives, i.e., energetic, exergetic, exergo-economic, economic, environmental (4E). For this purpose, simulation carried out by EES software; then, utilizing COMFAR III software, economic sensitivity investigation conducted to detect influence financial parameters on system's features after installation plant. Results evaluation unfolded that installing is affordable point view. Besides, analysis calculate main performance indicants, including impact indicator. optimized robust Multi-Objective Bat Optimization Algorithm . determining final optimum solution, TOPSIS, LINMAP, Shannon entropy methods were used optimization process. results also compared conventional multi-objective suitable method. findings comparison confirmed bat algorithm's had been better, based Taylor Violin diagrams. scatter plots effective are presented define operating ranges. show exergy efficiency, Levelized CO2 emissions, total product cost 38.42%, 0.4757 t/MWh, 7.517 $/GJ obtained. reduced significantly 10.01 7.517$/GJ at expense slight diminish exergetic efficiency about 2% through use algorithm. Also, annual greenhouse gas emission made 9%